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JPMorgan Collar LevelsThis indicator visualizes the current JPMorgan Hedging Collar strategy commonly used by institutional funds like JHEQX. It plots three key levels: – Short Call strike (upper bound) – Long Put strike (protection level) – Short Put strike (cost reduction) The area between the long put and short call is shaded to represent the active hedging zone. This setup is updated quarterly and can influence SPX market behavior near expiration dates. Inputs are customizable to reflect the latest collar configuration. Useful for traders tracking institutional hedging flows or analyzing market structure near key option expirations.
Pine Script® indicator
by Yecoca
RSI-Volume Momentum Signal ScoreRSI-Volume Momentum Signal Score Description The RSI-Volume Momentum Signal Score is a predictive technical indicator designed to identify bullish and bearish momentum shifts by combining volume-based momentum with the Relative Strength Index (RSI). It generates a Signal Score derived from: • The divergence between short-term and long-term volume (Volume Oscillator), and • RSI positioning relative to a user-defined threshold. This hybrid approach helps traders detect early signs of price movement based on volume surges and overbought/oversold conditions. The Signal Score is computed as follows: Signal Score = Volume Momentum x RSI Divergence Factor Volume Momentum = tanh ((Volume Oscillator value (vo) – Volume Threshold)/Scaling Factor) RSI Divergence Factor = ((RSI Threshold – RSI Period)/Scaling Factor) Or, Signal Score = tanh((vo - voThreshold) / scalingFactor) * ((rsiThreshold - rsi) / scalingFactor) The logic of this formula are as follows: • If Volume Oscillator >= Volume Threshold and RSI <= RSI Threshold: Bullish Signal (+1 x Scaling Factor) • If Volume Oscillator >= Volume Threshold and RSI >= (100 – RSI Threshold): Bearish Signal (-1 x Scaling Factor) • Otherwise: Neutral (0) The tanh function provides the normalization process. It ensures that the final signal score is bounded between -1 and 1, increases sensitivity to early changes in volume patterns based on RSI conditions, and prevent sudden jumps in signals ensuring smooth and continuous signal line. Input Fields The input fields allow users to customize the behavior of the indicator based on their trading strategy: Short-Term Volume MA - Default: `2` - Description: The period for the short-term moving average of volume. - Purpose: Captures short-term volume trends. Long-Term Volume MA) - Default: `10` - Description: The period for the long-term moving average of volume. - Purpose: Captures long-term volume trends for comparison with the short-term trend. RSI Period) - Default: `3` - Description: The period for calculating the RSI. - Purpose: Measures the relative strength of price movements over the specified period. Volume Oscillator Threshold - Default: `70` - Description: The threshold for the Volume Oscillator to determine significant volume momentum. - Purpose: Filters out weak volume signals. RSI Threshold - Default: `25` - Description: The RSI level used to identify overbought or oversold conditions. - Purpose: Helps detect potential reversals in price momentum. Signal Scaling Factor - Default: `10` - Description: A multiplier for the signal score. - Purpose: Adjusts the magnitude of the signal score for better visualization. How To Use It for Trading: Upcoming Bullish Signal: Signal line turns from Gray to Green or from Green to Gray Upcoming Bearish Signal: Signal line turns from Gray to Red or from Red to Gray Note: The price that corresponds to the transition of Signal line from Gray to Green or Red and vise versa is the signal price for upcoming bullish or bearish signal. The signal score dynamically adjusts based on volume and RSI thresholds, making it adaptable to various market conditions, and this is what makes the indicator unique from other traditional indicators. Unique Features Unlike traditional indicators, this indicator combines two different dimensions—volume trends and RSI divergence—for more comprehensive signal generation. The use of tanh() to scale and smooth the signal is a mathematically elegant way to manage signal noise and highlight genuine trends. Traders can tune the scaling factor and thresholds to adapt the indicator for scalping, swing trading, or longer-term investing.
Pine Script® indicator
by DexterMGarcia
1
Follow Line Strategy Version 2.5 (React HTF)Follow Line Strategy v2.5 (React HTF) - TradingView Script Usage This strategy utilizes a "Follow Line" concept based on Bollinger Bands and ATR to identify potential trading opportunities. It includes advanced features like optional working hours filtering, higher timeframe (HTF) trend confirmation, and improved trend-following entry/exit logic. Version 2.5 introduces reactivity to HTF trend changes for more adaptive trading. Key Features: Follow Line: The core of the strategy. It dynamically adjusts based on price breakouts beyond Bollinger Bands, using either the low/high or ATR-adjusted levels. Bollinger Bands: Uses a standard Bollinger Bands setup to identify overbought/oversold conditions. ATR Filter: Optionally uses the Average True Range (ATR) to adjust the Follow Line offset, providing a more dynamic and volatility-adjusted entry point. Optional Trading Session Filter: Allows you to restrict trading to specific hours of the day. Higher Timeframe (HTF) Confirmation: A significant feature that allows you to confirm trade signals with the trend on a higher timeframe. This can help to filter out false signals and improve the overall win rate. HTF Selection Method: Choose between Auto and Manual HTF selection: Auto: The script automatically determines the appropriate HTF based on the current chart timeframe (e.g., 1min -> 15min, 5min -> 4h, 1h -> 1D, Daily -> Monthly). Manual: Allows you to select a specific HTF using the Manual Higher Timeframe input. Trend-Following Entries/Exits: The strategy aims to enter trades in the direction of the established trend, using the Follow Line to define the trend. Reactive HTF Trend Changes: v2.5 exits positions not only based on the trade timeframe (TTF) trend changing, but also when the higher timeframe trend reverses against the position. This makes the strategy more responsive to larger market movements. Alerts: Provides buy and sell alerts for convenient trading signal notifications. Visualizations: Plots the Follow Line for both the trade timeframe and the higher timeframe (optional), making it easy to understand the strategy's logic. How to Use: Add to Chart: Add the "Follow Line Strategy Version 2.5 (React HTF)" script to your TradingView chart. Configure Settings: Customize the strategy's settings to match your trading style and preferences. Here's a breakdown of the key settings: Indicator Settings: ATR Period: The period used to calculate the ATR. A smaller period is more sensitive to recent price changes. Bollinger Bands Period: The period used for the Bollinger Bands calculation. A longer period results in smoother bands. Bollinger Bands Deviation: The number of standard deviations from the moving average that the Bollinger Bands are plotted. Higher deviations create wider bands. Use ATR for Follow Line Offset?: Enable to use ATR to calculate the Follow Line offset. Disable to use the simple high/low. Show Trade Signals on Chart?: Enable to show BUY/SELL labels on the chart. Time Filter: Use Trading Session Filter?: Enable to restrict trading to specific hours of the day. Trading Session: The trading session to use (e.g., 0930-1600 for regular US stock market hours). Use 0000-2400 for all hours. Higher Timeframe Confirmation: Enable HTF Confirmation?: Enable to use the HTF trend to filter trade signals. If enabled, only trades in the direction of the HTF trend will be taken. HTF Selection Method: Choose between "Auto" and "Manual" HTF selection. Manual Higher Timeframe: If "Manual" is selected, choose the specific HTF (e.g., 240 for 4 hours, D for daily). Show HTF Follow Line?: Enable to plot the HTF Follow Line on the chart. Understanding the Signals: Buy Signal: The price breaks above the upper Bollinger Band, and the HTF (if enabled) confirms the uptrend. Sell Signal: The price breaks below the lower Bollinger Band, and the HTF (if enabled) confirms the downtrend. Exit Long: The trade timeframe trend changes to downtrend or the higher timeframe trend changes to downtrend. Exit Short: The trade timeframe trend changes to uptrend or the higher timeframe trend changes to uptrend. Alerts: The script includes alert conditions for buy and sell signals. To set up alerts, click the "Alerts" button in TradingView and select the desired alert condition from the script. The alert message provides the ticker and interval. Backtesting and Optimization: Use TradingView's Strategy Tester to backtest the strategy on different assets and timeframes. Experiment with different settings to optimize the strategy for your specific trading style and risk tolerance. Pay close attention to the ATR Period, Bollinger Bands settings, and the HTF confirmation options. Tips and Considerations: HTF Confirmation: The HTF confirmation can significantly improve the strategy's performance by filtering out false signals. However, it can also reduce the number of trades. Risk Management: Always use proper risk management techniques, such as stop-loss orders and position sizing, when trading any strategy. Market Conditions: The strategy may perform differently in different market conditions. It's important to backtest and optimize the strategy for the specific markets you are trading. Customization: Feel free to modify the script to suit your specific needs. For example, you could add additional filters or entry/exit conditions. Pyramiding: The pyramiding = 0 setting prevents multiple entries in the same direction, ensuring the strategy doesn't compound losses. You can adjust this value if you prefer to pyramid into winning positions, but be cautious. Lookahead: The lookahead = barmerge.lookahead_off setting ensures that the HTF data is calculated based on the current bar's closed data, preventing potential future peeking bias. Trend Determination: The logic for determining the HTF trend and reacting to changes is critical. Carefully review the f_calculateHTFData function and the conditions for exiting positions to ensure you understand how the strategy responds to different market scenarios. Disclaimer: This script is for informational and educational purposes only. It is not financial advice, and you should not trade based solely on the signals generated by this script. Always do your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred as a result of using this script.
Pine Script® strategy
by fenyesk
RSI + ADX + ATR Combo Indicator: RSI + ADX + ATR Combo Filter This indicator is a confluence filter tool that combines RSI, ADX, and ATR into a single, easy-to-read chart overlay. It is designed to help traders identify low-volatility, non-trending zones with balanced momentum—ideal for strategies that rely on breakouts or reversals. 🔍 Core Components: RSI (Relative Strength Index) Standard RSI with custom upper and lower bounds (default: 60 and 40). Filters out extreme overbought/oversold regions and focuses on price consolidation zones. ADX (Average Directional Index) Measures trend strength. When ADX is below a custom threshold (default: 20), it indicates a weak or range-bound trend. ATR (Average True Range) Represents volatility. Low ATR values (default threshold: 2.5) are used to filter out high-volatility environments, helping refine entries. 🟣 Signal Logic: A signal is highlighted with a background color when all three conditions are met: RSI is between lower and upper bounds (e.g., 40 < RSI < 60) ✅ ADX is below the trend threshold (e.g., ADX < 20) ✅ ATR is below the volatility threshold (e.g., ATR < 2.5) ✅ These combined conditions suggest a low-volatility, low-trend strength, and balanced momentum zone—perfect for anticipating breakouts or strong directional moves.
Pine Script® indicator
by shawasutosh
Ultimate MA & PSAR [TARUN]Overview This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking. Key Features ✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length. ✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels. ✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on: Price action relative to MA MA trend direction (rising or falling) PSAR confirmation ✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement. ✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically. ✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format. How It Works 1.Buy (Long) Condition: MA is rising Price is above the MA PSAR is below price 2.Sell (Short) Condition: MA is falling Price is below the MA PSAR is above price 3.Stop Loss Handling: For long trades → stop loss is set at the lowest low of the last X candles For short trades → stop loss is set at the highest high of the last X candles 4.Trade Execution & PnL Calculation: If a valid long/short setup is detected, a pending signal is placed. On the next bullish (for long) or bearish (for short) candle, the trade is confirmed. Real-time PnL updates help track trade performance. Customization Options 🔹 Moving Average: SMA or EMA, adjustable period 🔹 PSAR Settings: Start, Increment, Maximum step values 🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement 🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right) 🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually How to Use Add the indicator to your chart. Customize the MA & PSAR settings according to your trading strategy. Follow the dashboard signals for trade setups. Use stop loss levels to manage risk effectively. Disclaimer ⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
Pine Script® indicator
by tarun171977
ATR Amplitude RatioATR Amplitude Ratio The ATR Amplitude Ratio indicator measures price volatility by comparing the current candle's amplitude (high-low range) to the Average True Range (ATR). This helps traders identify when price movement exceeds typical volatility thresholds, potentially signaling unusual market activity. Key Features: Displays the ratio between current candle height and ATR as color-coded histogram bars Customizable ATR calculation with multiple smoothing methods (SMA, EMA, RMA, WMA) Visual reference lines at 1x, 2x, 3x, 4x, and 5x ATR levels Dynamic color coding based on volatility intensity (5 customizable threshold colors) Real-time display of current ratio and ATR values How to Use: Volatility Assessment: Quickly identify if price action is within normal volatility ranges or exhibiting unusual movement Breakout Confirmation: Higher ratios can confirm genuine breakouts versus false moves Entry/Exit Timing: Consider entries when volatility returns to normal ranges after spikes Risk Management: Adjust position sizing based on current volatility ratios Settings: ATR Length: Determines the lookback period for ATR calculation (default: 14) ATR Smoothing Type: Choose from SMA, EMA, RMA, or WMA methods Color Thresholds: Customize colors for different volatility ranges This indicator helps traders make more informed decisions by providing context about current price action relative to recent historical volatility.
Pine Script® indicator
by Delsongs
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TP📈 Strategy: 15-Minute Scalping — EMA + MACD + RSI + ATR-based SL/TP This scalping strategy is designed for 15-minute charts and combines trend-following and momentum confirmation with dynamic stop loss and take profit levels based on volatility. 🔧 Indicators Used: EMA 50 — identifies the main trend MACD Histogram — confirms momentum direction RSI (14) — filters overbought/oversold conditions ATR (14) — dynamically sets SL and TP based on market volatility 📊 Entry Conditions: Long Entry: Price is above EMA 50 MACD histogram is positive RSI is above 50 but below 70 Short Entry: Price is below EMA 50 MACD histogram is negative RSI is below 50 but above 30 🛑 Risk Management: Stop Loss: 1×ATR (user-configurable) Take Profit: 2×ATR (user-configurable) These values can be adjusted in the script inputs depending on your risk/reward preference or market conditions. ⚠️ Notes: Strategy is optimized for scalping fast-moving pairs (e.g. crypto, forex). Works best in trending markets. Use backtesting and forward testing before live trading.
Pine Script® strategy
by ionut081
Liquidity Volume Panel Liquidity Volume Panel – Precision Tool for Scalpers & Intraday Traders This panel is designed to help traders quickly identify volume-driven moves, liquidity events, and fair-value zones. It combines classic volume analysis with enhanced tools like RVOL and VWAP deviation bands, making it ideal for scalping, momentum trading, and intraday strategies. 🔍 Included Features: ✅ Relative Volume (RVOL) Indicator Displays current volume in relation to its 20-period average – excellent for spotting low-activity zones or high-pressure breakouts. ✅ Dynamic Volume Coloring & Spike Detection Color-coded volume logic highlights normal, strong, and extremely high volume, with visual markers for volume spikes (>200% of average). ✅ VWAP with ±1σ & ±2σ Bands Industry-standard deviation bands show overbought/oversold conditions and dynamic support/resistance based on volume-weighted pricing. ✅ Background Highlighting Subtle orange background alerts you when volume surges beyond extreme levels – making liquidity clusters instantly recognizable. Usage: Use this panel as a decision-making tool for entries, reversals, or breakouts – especially in fast-moving markets. Best used on lower timeframes for precision scalping.
Pine Script® indicator
by Mathias81
P-Motion Trend | QuantEdgeB⚡ Introducing P-Motion Trend (PMT) by QuantEdgeB 🧭 Overview P-Motion Trend is a refined trend-following framework built for modern market dynamics. It combines DEMA filtering, percentile-based smoothing, and volatility-adjusted envelopes to create a clear, noise-filtered trend map directly on your chart. This overlay indicator is engineered to detect breakout zones, trend continuation setups, and market regime shifts with maximum clarity and minimum lag. Whether you're swing trading crypto, managing intraday FX moves, or positioning in equities — P-Motion Trend adapts, aligns, and simplifies. 🧠 Core Logic 1️⃣ DEMA Filtering Core The input source is processed through a Double EMA to reduce lag while retaining trend sensitivity. 2️⃣ Percentile Median Smoothing To eliminate short-lived spikes, the DEMA output is passed through a percentile median rank — effectively smoothing without distortion. 3️⃣ Volatility Envelope with EMA Basis An exponential moving average (EMA) is applied to the smoothed median, and standard deviation bands are wrapped around it: • ✅ Long Signal → Price closes above the upper band • ❌ Short Signal → Price closes below the lower band • ➖ Inside Band = Neutral These bands expand/contract with market volatility — protecting against false breakouts in quiet regimes and adapting quickly to strong moves. 📊 Visual & Analytical Layers • 🎯 Bar Coloring: Color-coded candles highlight trend state at a glance. • 📈 EMA Ribbon Overlay: A dynamic ribbon of EMAs helps confirm internal momentum and detect transitions (trend decay or acceleration). • 🔹Gradient Fill Zones: Visually communicates squeeze vs. expansion phases based on band width. ⚙️ Custom Settings • EMA Length – Defines the core trend path (default: 21) • SD Length – Controls volatility band smoothing (default: 30) • SD Mult Up/Down – Sets thresholds for breakout confirmation (default: 1.5) • DEMA Filter Source – Raw input used for trend processing • DEMA Filter Length – Sets DEMA smoothing (default: 7) • Median Length – Percentile-based smoothing window (default: 2) 📌 Use Cases ✅ Trend Confirmation Use PMT to confirm whether the price action is structurally valid for trend continuation. A close above the upper band signals entry alignment. 🛡️ Reversal Guard Avoid early reversion entries. PMT keeps you in-trend until price truly breaks structure. 🔍 Momentum Visualizer With multiple EMA bands, the indicator also functions as a momentum envelope to spot divergence between price and smoothed trend flow. 🔚 Conclusion P-Motion Trend is a hybrid volatility + trend system built with precision smoothing, dynamic filtering, and clean visual output. It balances agility with stability, helping you: • Filter out price noise • Enter with structure • Stay in trades longer • Exit with confidence 🧩 Summary of Benefits • 🔹 Lag-minimized trend structure via DEMA core • 🔹 Real-time volatility band adaptation • 🔹 Gradient visual feedback on compression/expansion • 🔹 EMA ribbon assists in phase detection • 🔹 Suitable for all markets & timeframes 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
4
DEGA RMA | QuantEdgeB🧠 Introducing DEGA RMA (DGR ) by QuantEdgeB 🛠️ Overview DEGA RMA (DGR) is a precision-engineered trend-following system that merges DEMA, Gaussian kernel smoothing, and ATR-based envelopes into a single, seamless overlay indicator. Its mission: to filter out market noise while accurately capturing directional bias using a layered volatility-sensitive trend core. DGR excels at identifying valid breakouts, sustained momentum conditions, and trend-defining price behavior without falling into the trap of frequent signal reversals. 🔍 How It Works 1️⃣ Double Exponential Moving Average (DEMA) The system begins by applying a DEMA to the selected price source. DEMA responds faster than a traditional EMA, making it ideal for capturing transitions in momentum. 2️⃣ Gaussian Filtering A custom Gaussian kernel is used to smooth the DEMA signal. The Gaussian function applies symmetrical weights, centered around the most recent bar, effectively softening sharp price oscillations while preserving the underlying trend structure. 3️⃣ Recursive Moving Average (RMA) Core The filtered Gaussian output is then processed through an RMA to generate a stable dynamic baseline. This baseline becomes the foundation for the final trend logic. 4️⃣ ATR-Scaled Breakout Zones Upper and lower trend envelopes are calculated using a custom ATR filter built on DEMA-smoothed volatility. • ✅ Long Signal when price closes above the upper envelope • ❌ Short Signal when price closes below the lower envelope • ➖ Neutral when inside the band (no signal noise) ✨ Key Features 🔹 Multi-Layer Trend Model DEMA → Gaussian → RMA creates a signal structure that is both responsive and robust. 🔹 Volatility-Aware Entry System Adaptive ATR bands adjust in real-time, expanding during high volatility and contracting during calm periods. 🔹 Noise-Reducing Gaussian Kernel Sigma-adjustable kernel ensures signal smoothness without introducing excessive lag. 🔹 Clean Visual System Candle coloring and band fills make trend state easy to read and act on at a glance. ⚙️ Custom Settings • DEMA Source – Input source for trend core (default: close) • DEMA Length – Length for initial smoothing (default: 30) • Gaussian Filter Length – Determines smoothing depth (default: 4) • Gaussian Sigma – Sharpness of Gaussian curve (default: 2.0) • RMA Length – Core baseline smoothing (default: 12) • ATR Length – Volatility detection period (default: 40) • ATR Mult Up/Down – Controls the upper/lower threshold range for signals (default: 1.7) 📌 How to Use 1️⃣ Trend-Following Mode • Go Long when price closes above the upper ATR band • Go Short when price closes below the lower ATR band • Remain neutral otherwise 2️⃣ Breakout Confirmation Tool DGR’s ATR-based zone logic helps validate price breakouts and filter out false signals that occur inside compressed ranges. 3️⃣ Volatility Monitoring Watch the ATR envelope width — a narrowing band often precedes expansion and potential directional shifts. 📌 Conclusion DEGA RMA (DGR) is a thoughtfully constructed trend-following framework that goes beyond basic moving averages. Its Gaussian smoothing, adaptive ATR thresholds, and layered filtering logic provide a versatile solution for traders looking for cleaner signals, less noise, and real-time trend awareness. Whether you're trading crypto, forex, or equities — DGR adapts to volatility while keeping your chart clean and actionable. 🔹 Summary • ✅ Advanced Smoothing → DEMA + Gaussian + RMA = ultra-smooth trend core • ✅ Volatility-Adjusted Zones → ATR envelope scaling removes whipsaws • ✅ Fully Customizable → Tailor to any asset or timeframe • ✅ Quant-Inspired Structure → Built for clarity, consistency, and confidence 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
2
Gaussian Smooth Trend | QuantEdgeB🧠 Introducing Gaussian Smooth Trend (GST) by QuantEdgeB 🛠️ Overview Gaussian Smooth Trend (GST) is an advanced volatility-filtered trend-following system that blends multiple smoothing techniques into a single directional bias tool. It is purpose-built to reduce noise, isolate meaningful price shifts, and deliver early trend detection while dynamically adapting to market volatility. GST leverages the Gaussian filter as its core engine, wrapped in a layered framework of DEMA smoothing, SMMA signal tracking, and standard deviation-based breakout thresholds, producing a powerful toolset for trend confirmation and momentum-based decision-making. 🔍 How It Works 1️⃣ DEMA Smoothing Engine The indicator begins by calculating a Double Exponential Moving Average (DEMA), which provides a responsive and noise-resistant base input for subsequent filtering. 2️⃣ Gaussian Filter A custom Gaussian kernel is applied to the DEMA signal, allowing the system to detect smooth momentum shifts while filtering out short-term volatility. This is especially powerful during low-volume or sideways markets where traditional MAs struggle. 3️⃣ SMMA Layer with Z-Filtering The filtered Gaussian signal is then passed through a custom Smoothed Moving Average (SMMA). A standard deviation envelope is constructed around this SMMA, dynamically expanding/contracting based on market volatility. 4️⃣ Signal Generation • ✅ Long Signal: Price closes above Upper SD Band • ❌ Short Signal: Price closes below Lower SD Band • ➖ No trade: Price stays within the band → market indecision ✨ Key Features 🔹 Multi-Stage Trend Detection Combines DEMA → Gaussian Kernel → SMMA → SD Bands for robust signal integrity across market conditions. 🔹 Gaussian Adaptive Filtering Applies a tunable sigma parameter for the Gaussian kernel, enabling you to fine-tune smoothness vs. responsiveness. 🔹 Volatility-Aware Trend Zones Price must close outside of dynamic SD envelopes to trigger signals — reducing whipsaws and increasing signal quality. 🔹 Dynamic Color-Coded Visualization Candle coloring and band fills reflect live trend state, making the chart intuitive and fast to read. ⚙️ Custom Settings • DEMA Source: Price stream used for smoothing (default: close) • DEMA Length: Period for initial exponential smoothing (default: 7) • Gaussian Length / Sigma: Controls smoothing strength of kernel filter • SMMA Length: Final smoothing layer (default: 12) • SD Length: Lookback period for standard deviation filtering (default: 30) • SD Mult Up / Down: Adjusts distance of upper/lower breakout zones (default: 2.5 / 1.8) • Color Modes: Six distinct color palettes (e.g., Strategy, Warm, Cool) • Signal Labels: Toggle on/off entry markers ("𝓛𝓸𝓷𝓰", "𝓢𝓱𝓸𝓻𝓽") 📌 Trading Applications ✅ Trend-Following → Enter on confirmed breakouts from Gaussian-smoothed volatility zones ✅ Breakout Validation → Use SD bands to avoid false breakouts during chop ✅ Volatility Compression Monitoring → Narrowing bands often precede large directional moves ✅ Overlay-Based Confirmation → Can complement other QuantEdgeB indicators like K-DMI, BMD, or Z-SMMA 📌 Conclusion Gaussian Smooth Trend (GST) delivers a precision-built trend model tailored for modern traders who demand both clarity and control. The layered signal architecture, combined with volatility awareness and Gaussian signal enhancement, ensures accurate entries, clean visualizations, and actionable trend structure — all in real-time. 🔹 Summary Highlights 1️⃣ Multi-stage Smoothing — DEMA → Gaussian → SMMA for deep signal integrity 2️⃣ Volatility-Aware Filtering — SD bands prevent false entries 3️⃣ Visual Trend Mapping — Gradient fills + candle coloring for clean charts 4️⃣ Highly Customizable — Adapt to your timeframe, style, and volatility 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
Kernel Weighted DMI | QuantEdgeB📊 Introducing Kernel Weighted DMI (K-DMI) by QuantEdgeB 🛠️ Overview K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal. Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal. ✨ Key Features 🔹 Kernel Smoothing Engine Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity. 🔹 Dynamic Trend Signal Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ±1). 🔹 Visual Encoding Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension. 🔹 Multi-Mode Plotting Optional moving average overlays visualize structure and compression/expansion within price action. 📐 How It Works 1️⃣ Directional Movement Index (DMI) Calculates the traditional +DI and -DI differential to derive directional bias. 2️⃣ Kernel-Based Smoothing Applies a custom-weighted average across historical DMI values using one of three smoothing methods: • Linear → Simple tapering weights • Exponential → Decay curve for recent emphasis • Gaussian → Bell-shaped weight for centered precision 3️⃣ Signal Generation • ✅ Long → Signal > Long Threshold (default: +1) • ❌ Short → Signal < Short Threshold (default: -1) Additional overlays signal potential compression zones or trend resumption using gradient and line fills. ⚙️ Custom Settings • DMI Length: Default = 7 • Kernel Type: Options → Linear, Exponential, Gaussian (Def:Linear) • Kernel Length: Default = 25 • Long Threshold: Default = 1 • Short Threshold: Default = -1 • Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic • Show Labels: Optional entry signal labels (Long/Short) • Enable Extra Plots: Toggle MA overlays and dynamic bands 👥 Who Is It For? ✅ Trend Traders → Identify sustained directional bias with smoother signal lines ✅ Quant Analysts → Leverage advanced smoothing models to enhance data clarity ✅ Discretionary Swing Traders → Visualize clean breakouts or fades within choppy zones ✅ MA Compression Traders → Use overlay MAs to detect expansion opportunities 📌 Conclusion Kernel Weighted DMI is the evolution of classic momentum tracking—merging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis. 🔹 Key Takeaways: 1️⃣ Smoothed and stabilized DMI for reliable trend signal generation 2️⃣ Optional Gaussian/exponential weighting for adaptive responsiveness 3️⃣ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB 🛠️ Overview Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity. It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making. ✨ Key Features 🔹 DEMA-Powered Momentum Core Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag. 🔹 Normalized SD Bands Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes. 🔹 Overbought/Oversold Detection Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas. 🔹 Visual Trend Feedback Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength. 📐 How It Works 1️⃣ DEMA Calculation The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets. 2️⃣ Normalization with SD The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity. 3️⃣ Signal Generation • ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary. • ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context. 4️⃣ OB/OS Thresholds • Overbought Zone: Above 100 → Caution / Consider profit-taking. • Oversold Zone: Below 0 → Watch for accumulation setups. ⚙️ Custom Settings • Calculation Source: Default = close • DEMA Period: Default = 30 • Base SMA Period: Default = 20 • Long Threshold: Default = 55 • Short Threshold: Default = 45 • Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic • Signal Labels Toggle: Show/hide Long/Short markers on chart 👥 Ideal For ✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure ✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes ✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets ✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges 📌 Conclusion Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions. 🔹 Key Takeaways: 1️⃣ Smoother momentum tracking using DEMA 2️⃣ Cross-asset consistency via SD-based normalization 3️⃣ Versatile for both trend confirmation and reversal identification 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading. Let me know if you want a strategy script or publish-ready layout for TradingView next!
Pine Script® indicator
by QuantEdgeB
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